Hu Yi-Han, Meyer Katie, Lulla Anju, Lewis Cora E, Carnethon Mercedes R, Schreiner Pamela J, Sidney Stephen, Shikany James M, Meirelles Osorio, Launer Lenore J
Laboratory of Epidemiology and Population Sciences, National Institute On Aging, 251 Bayview Blvd, Baltimore, MD, 21224, USA.
Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, USA.
Nutr Metab (Lond). 2023 Jan 5;20(1):3. doi: 10.1186/s12986-022-00721-0.
Animal and human studies suggest the gut microbiome is linked to diabetes but additional data are needed on the associations of the gut microbiome to specific diabetes characteristics. The aim of this study was to examine the associations of gut microbiome composition to insulin resistance [Homeostatic Model Assessment of Insulin Resistance (HOMA-IR)], duration of diabetes, and 4 stages of diabetes [normoglycemia, pre-diabetes, and diabetes with (+) and without (-) medication for diabetes].
Data are from a sub-sample (n = 605) of Black and White participants from the 30-year follow-up exam of the prospectively followed community-based Coronary Artery Risk Development in Young Adults cohort (2015-2016; aged 48-60 years). Stool samples were collected and sequenced using the 16S ribosomal RNA method. Microbial measures included: α diversity (within-person), β diversity (between-person), and taxonomies. All analyses were adjusted for demographic, clinical, lifestyle factors, and use of relevant medications (full adjustment). Multivariate linear regression models were used to assess the association of diabetes characteristics with α diversity and genera abundance, while the association with β diversity was analyzed using permutational multivariate analysis of variance. Statistical significance was set to p-value < 0.05 for α and β diversity analyses and to q-value < 0.1 for genera abundance analyses.
There were 16.7% of participants with pre-diabetes, and 14.4% with diabetes (9% diabetes+) with median (interquartile range) diabetes duration of 5 (5-10) years. In the fully adjusted models, compared to those with no diabetes, longer diabetes duration and the diabetes + group had a lower α diversity. There were significant differences in β diversity across diabetes-related characteristics. A significantly reduced abundance of butyrate-producing genera was associated with higher HOMA-IR (ex., Anaerostipes and Lachnospiraceae_UCG.004), longer diabetes duration (ex., Agathobacter and Ruminococcus), and diabetes + (ex., Faecalibacterium and Romboutsia).
Our results suggest that an adverse alteration of gut microbiome composition is related to higher insulin resistance, longer diabetes duration, and is present in those persons with diabetes using medications. These diabetes-related characteristics were also associated with lower levels of certain butyrate-producing bacteria that produce health-promoting short-chain fatty acids. Understanding the role of gut microbiota in glucose regulation may provide new strategies to reduce the burden of diabetes.
动物和人体研究表明肠道微生物群与糖尿病有关,但仍需要更多关于肠道微生物群与特定糖尿病特征之间关联的数据。本研究的目的是检验肠道微生物群组成与胰岛素抵抗[胰岛素抵抗稳态模型评估(HOMA-IR)]、糖尿病病程以及糖尿病的4个阶段[血糖正常、糖尿病前期、使用(+)和未使用(-)糖尿病药物治疗的糖尿病]之间的关联。
数据来自于基于社区的青年成年人冠状动脉风险发展前瞻性队列30年随访检查中的黑人和白人参与者的一个子样本(n = 605)(2015 - 2016年;年龄48 - 60岁)。收集粪便样本并使用16S核糖体RNA方法进行测序。微生物指标包括:α多样性(个体内)、β多样性(个体间)和分类学。所有分析均针对人口统计学、临床、生活方式因素以及相关药物的使用进行了调整(完全调整)。使用多元线性回归模型评估糖尿病特征与α多样性和属丰度之间的关联,而与β多样性的关联则使用置换多元方差分析进行分析。α和β多样性分析的统计学显著性设定为p值 < 0.05,属丰度分析的统计学显著性设定为q值 < 0.1。
有16.7%的参与者患有糖尿病前期,14.4%患有糖尿病(9%为糖尿病 +),糖尿病病程中位数(四分位间距)为5(5 - 10)年。在完全调整模型中,与无糖尿病者相比,糖尿病病程较长者和糖尿病 + 组的α多样性较低。糖尿病相关特征的β多样性存在显著差异。产生丁酸盐的属的丰度显著降低与较高的HOMA-IR相关(例如,厌氧棒状菌属和毛螺菌科_UCG.004)、较长的糖尿病病程(例如,阿加氏菌属和瘤胃球菌属)以及糖尿病 +(例如,粪杆菌属和罗姆布茨菌属)相关。
我们的结果表明,肠道微生物群组成的不良改变与较高的胰岛素抵抗、较长的糖尿病病程有关,并且在使用药物治疗的糖尿病患者中存在。这些与糖尿病相关的特征还与某些产生促进健康的短链脂肪酸的丁酸盐产生菌水平较低有关。了解肠道微生物群在血糖调节中的作用可能会提供减轻糖尿病负担的新策略。